ArticleScientific reports2018
Target tracking and 3D trajectory acquisition of cabbage butterfly (P. rapae) based on the KCF-BS algorithm.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed, 11 citations in OpenAlex.
- Research on the multitarget 3D trajectory tracking method ofFrontiers in plant science · 2024Article
- Three-Dimensional Tracking of Multiple Small Insects by a Single Camera.Journal of insect science (Online) · 2021Article
- A Novel Vehicle Tracking ID Switches Algorithm for Driving Recording Sensors.Sensors (Basel, Switzerland) · 2020Article
- Moving object tracking in clinical scenarios: application to cardiac surgery and cerebral aneurysm clipping.International journal of computer assisted radiology and surgery · 2019Article
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Authors and funding
3 authors at 1 institution in 1 country.
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Abstract
Insect behaviour is an important research topic in plant protection. To study insect behaviour accurately, it is necessary to observe and record their flight trajectory quantitatively and precisely in three dimensions (3D). The goal of this research was to analyse frames extracted from videos using Kernelized Correlation Filters (KCF) and Background Subtraction (BS) (KCF-BS) to plot the 3D trajectory of cabbage butterfly (P. rapae). Considering the experimental environment with a wind tunnel, a quadrature binocular vision insect video capture system was designed and applied in this study. The KCF-BS algorithm was used to track the butterfly in video frames and obtain coordinates of the target centroid in two videos. Finally the 3D trajectory was calculated according to the matching relationship in the corresponding frames of two angles in the video. To verify the validity of the KCF-BS algorithm, Compressive Tracking (CT) and Spatio-Temporal Context Learning (STC) algorithms were performed. The results revealed that the KCF-BS tracking algorithm performed more favourably than CT and STC in terms of accuracy and robustness.
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